





"""simple docstring"""





import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE__   =  logging.get_logger(__name__)


SCREAMING_SNAKE_CASE__   =  {
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

SCREAMING_SNAKE_CASE__   =  {
    "vocab_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json"
        ),
    },
    "tokenizer_config_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json"
        ),
    },
    "merges_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt"
        ),
    },
}

SCREAMING_SNAKE_CASE__   =  "</w>"
SCREAMING_SNAKE_CASE__   =  "@@ "


def      UpperCAmelCase__				(    SCREAMING_SNAKE_CASE	:		Any     ):







      '''simple docstring'''




      lowerCAmelCase    		=			set()
      lowerCAmelCase    		=			word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)     )
            lowerCAmelCase    		=			char
      return pairs


# Speech2Text2 has no max input length
SCREAMING_SNAKE_CASE__   =  {"facebook/s2t-wav2vec2-large-en-de": 1_024}






class 						lowercase   (   _UpperCAmelCase   ):
      _SCREAMING_SNAKE_CASE							      = VOCAB_FILES_NAMES
      _SCREAMING_SNAKE_CASE							      = PRETRAINED_VOCAB_FILES_MAP
      _SCREAMING_SNAKE_CASE							      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _SCREAMING_SNAKE_CASE							      = ['input_ids', 'attention_mask']





      def __init__(			self ,		lowercase ,		lowercase="<s>" ,		lowercase="<pad>" ,		lowercase="</s>" ,		lowercase="<unk>" ,		lowercase=False ,		lowercase=None ,		**lowercase ,		)						->	Dict:
            super().__init__(
                unk_token=lowercase ,		bos_token=lowercase ,		eos_token=lowercase ,		pad_token=lowercase ,		do_lower_case=lowercase ,		**lowercase ,		)

            lowerCAmelCase    		=			do_lower_case

            with open(lowercase ,		encoding="""utf-8"""					) as vocab_handle:
                  lowerCAmelCase    		=			json.load(lowercase					)
            lowerCAmelCase    		=			{v: k for k, v in self.encoder.items()}

            if merges_file is None:
                  logger.info(f'No merges files provided. {self.__class__.__name__} can only be used for decoding.'					)

                  lowerCAmelCase    		=			None
                  lowerCAmelCase    		=			None
            else:
                  with open(lowercase ,		encoding="""utf-8"""					) as merges_handle:
                        lowerCAmelCase    		=			merges_handle.read().split("""\n"""					)[:-1]

                  lowerCAmelCase    		=			[tuple(merge.split()[:2]					) for merge in merges]
                  lowerCAmelCase    		=			dict(zip(lowercase ,		range(len(lowercase					)					)					)					)
                  lowerCAmelCase    		=			{}





      @property
      def        _snake_case     (			self					)						->	int:
            return len(self.decoder					)





      def        _snake_case     (			self					)						->	Dict:
            return dict(self.encoder ,		**self.added_tokens_encoder					)





      def        _snake_case     (			self ,		lowercase					)						->	str:
            lowerCAmelCase    		=			tuple(token[:-1]					) + (token[-1] + BPE_TOKEN_MERGES,)
            if token in self.cache:
                  return self.cache[token]
            lowerCAmelCase    		=			get_pairs(lowercase					)

            if not pairs:
                  return token

            while True:
                  lowerCAmelCase    		=			min(lowercase ,		key=lambda lowercase					: self.bpe_ranks.get(lowercase ,		float("""inf"""					)					)					)
                  if bigram not in self.bpe_ranks:
                        break
                  lowerCAmelCase		,						lowerCAmelCase    		=			bigram
                  lowerCAmelCase    		=			[]
                  lowerCAmelCase    		=			0
                  while i < len(lowercase					):
                        try:
                              lowerCAmelCase    		=			word.index(lowercase ,		lowercase					)
                        except ValueError:
                              new_word.extend(word[i:]					)
                              break
                        else:
                              new_word.extend(word[i:j]					)
                              lowerCAmelCase    		=			j

                        if word[i] == first and i < len(lowercase					) - 1 and word[i + 1] == second:
                              new_word.append(first + second					)
                              i += 2
                        else:
                              new_word.append(word[i]					)
                              i += 1
                  lowerCAmelCase    		=			tuple(lowercase					)
                  lowerCAmelCase    		=			new_word
                  if len(lowercase					) == 1:
                        break
                  else:
                        lowerCAmelCase    		=			get_pairs(lowercase					)
            lowerCAmelCase    		=			""" """.join(lowercase					)
            if word == "\n  " + BPE_TOKEN_MERGES:
                  lowerCAmelCase    		=			"""\n""" + BPE_TOKEN_MERGES

            if word.endswith(lowercase					):
                  lowerCAmelCase    		=			word.replace(lowercase ,		""""""					)

            lowerCAmelCase    		=			word.replace(""" """ ,		lowercase					)
            lowerCAmelCase    		=			word
            return word





      def        _snake_case     (			self ,		lowercase					)						->	Dict:

            if self.bpe_ranks is None:
                  raise ValueError(
                      """This tokenizer was instantiated without a `merges.txt` file, so"""
                      """ that it can only be used for decoding, not for encoding."""
                      """Make sure to provide `merges.txt` file at instantiation to enable """
                      """encoding."""					)

            if self.do_lower_case:
                  lowerCAmelCase    		=			text.lower()

            lowerCAmelCase    		=			text.split()

            lowerCAmelCase    		=			[]
            for token in text:
                  if token:
                        split_tokens.extend(list(self.bpe(lowercase					).split(""" """					)					)					)

            return split_tokens





      def        _snake_case     (			self ,		lowercase					)						->	int:
            return self.encoder.get(lowercase ,		self.encoder.get(self.unk_token					)					)





      def        _snake_case     (			self ,		lowercase					)						->	str:
            lowerCAmelCase    		=			self.decoder.get(lowercase ,		self.unk_token					)
            return result





      def        _snake_case     (			self ,		lowercase					)						->	str:
            lowerCAmelCase    		=			""" """.join(lowercase					)

            # make sure @@ tokens are concatenated
            lowerCAmelCase    		=			"""""".join(string.split(lowercase					)					)

            return string





      def        _snake_case     (			self ,		lowercase ,		lowercase = None					)						->	Tuple[str]:
            if not os.path.isdir(lowercase					):
                  logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
                  return
            lowerCAmelCase    		=			os.path.join(
                lowercase ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
            lowerCAmelCase    		=			os.path.join(
                lowercase ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]					)

            with open(lowercase ,		"""w""" ,		encoding="""utf-8"""					) as f:
                  f.write(json.dumps(self.encoder ,		indent=2 ,		sort_keys=lowercase ,		ensure_ascii=lowercase					) + """\n"""					)

            lowerCAmelCase    		=			0
            if self.bpe_ranks is None:
                  return (vocab_file,)

            with open(lowercase ,		"""w""" ,		encoding="""utf-8"""					) as writer:
                  for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,		key=lambda lowercase					: kv[1]					):
                        if index != token_index:
                              logger.warning(
                                  f'Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'
                                  """ Please check that the tokenizer is not corrupted!"""					)
                              lowerCAmelCase    		=			token_index
                        writer.write(""" """.join(lowercase					) + """\n"""					)
                        index += 1

            return (vocab_file, merges_file)













"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__   =  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   =  {
    "uclanlp/visualbert-vqa": "https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json",
    "uclanlp/visualbert-vqa-pre": "https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json",
    "uclanlp/visualbert-vqa-coco-pre": (
        "https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json"
    ),
    "uclanlp/visualbert-vcr": "https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json",
    "uclanlp/visualbert-vcr-pre": "https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json",
    "uclanlp/visualbert-vcr-coco-pre": (
        "https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json"
    ),
    "uclanlp/visualbert-nlvr2": "https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json",
    "uclanlp/visualbert-nlvr2-pre": "https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json",
    "uclanlp/visualbert-nlvr2-coco-pre": (
        "https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json"
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}

class 						lowercase   (   _UpperCAmelCase   ):
      _SCREAMING_SNAKE_CASE							      = 'visual_bert'





      def __init__(			self ,		lowercase=30_522 ,		lowercase=768 ,		lowercase=512 ,		lowercase=12 ,		lowercase=12 ,		lowercase=3_072 ,		lowercase="gelu" ,		lowercase=0.1 ,		lowercase=0.1 ,		lowercase=512 ,		lowercase=2 ,		lowercase=0.02 ,		lowercase=1e-12 ,		lowercase=False ,		lowercase=True ,		lowercase=1 ,		lowercase=0 ,		lowercase=2 ,		**lowercase ,		)						->	int:
            super().__init__(pad_token_id=lowercase ,		bos_token_id=lowercase ,		eos_token_id=lowercase ,		**lowercase					)

            lowerCAmelCase    		=			vocab_size
            lowerCAmelCase    		=			max_position_embeddings
            lowerCAmelCase    		=			hidden_size
            lowerCAmelCase    		=			visual_embedding_dim
            lowerCAmelCase    		=			num_hidden_layers
            lowerCAmelCase    		=			num_attention_heads
            lowerCAmelCase    		=			intermediate_size
            lowerCAmelCase    		=			hidden_act
            lowerCAmelCase    		=			hidden_dropout_prob
            lowerCAmelCase    		=			attention_probs_dropout_prob
            lowerCAmelCase    		=			initializer_range
            lowerCAmelCase    		=			type_vocab_size
            lowerCAmelCase    		=			layer_norm_eps
            lowerCAmelCase    		=			bypass_transformer
            lowerCAmelCase    		=			special_visual_initialize






